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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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project, also conducting similar work in other related projects as required. The candidate should be proficient in MATLAB, Excel, and Python to be able to use and adapt the existing suite of tools
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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like R, Matlab or Python. Ability to carry out statistical analyses of data. Job Duties Job Duty Analyze ECOSTRESS radiance data and test calibration correction and noise reduction methods. Essential
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for loading LLMs; Experience with Cloud Platforms (Google Cloud to be preferred); Advanced Python programming, including developing course material and exercises for chemical engineering subjects; Experience
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the following: Magnetic resonance imaging Python, MATLAB, C/C++ Excellent writing skills, as evidenced by first author publications Exposure to clinical MRI in general, with knowledge of brain tumor MRI
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expertise in one or more of the following: Magnetic resonance, electron paramagnetic resonance Hardware/software interfacing Python, MATLAB, LabView, C/C++ Mammalian cell culture and purification
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-performance computing systems Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran and Python Competency in visualizing and
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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/statistical modelling, numerical/data analysis, and programming using Python or other languages a motivation to engage in systems approaches to understand complex risks Contact details for advert Contact Name